The number of Internet users is growing exponentially, as well as the offer of new social media platforms over the course of the years, and the amount of users has also increased substantially. This prototype, HotRivers, can be a new marketing tool that points the direction to the next campaign. In the results stand out that trending topic Nike has an association with the company Nike and #WorldPatientSafetyDay has an association with Portsmouth Hospitals University. The approach was validated with real cases like Adidas, Nike and Portsmouth Hospitals University. Also, were tested three models, an embedding vectors approach with Doc2Vec model, a probabilistic model with Latent Dirichlet Allocation, and a classification task approach with a Convolutional Neural Network used on the final architecture. So, in this work were tested different pre-processing text techniques and a method to select tweets called Centroid Strategy used on trending topics to avoid unwanted tweets. This approach was applied to Twitter and used text mining techniques to process tweets, train personalized models of companies and deliver a list of the matched trending topics of the target company. The main goal of this work is to search for associations between trending topics and companies on social media platforms and HotRivers prototype was developed to fill this gap.
#SOCIAL MEDIA TRENDING NEWS SOFTWARE#
While the access to trending topics are free and available to everyone, marketing specialists and specific software are more expensive, therefore there are companies that do not have the budget to support those costs. Trending topics are the most discussed topics at the moment on social media platforms, particularly on Twitter and Facebook.
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